SARModel

Instance Constructors

new SARModel()
new SARModel(uid: String)

uid
The id of the module

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val activityTimeFormat: Param[String]

Definition Classes
SARParams
val alpha: DoubleParam

Definition Classes
ALSParams
final def asInstanceOf[T0]: T0

Definition Classes
Any
val checkedCast: UserDefinedFunction

Attributes
protected[org.apache.spark.ml.recommendation]
Definition Classes
ALSModelParams
final val checkpointInterval: IntParam

Definition Classes
HasCheckpointInterval
final def clear(param: Param[_]): SARModel.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val coldStartStrategy: Param[String]

Definition Classes
ALSModelParams
def copy(extra: ParamMap): SARModel

Definition Classes
SARModel → Model → Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def explainParam(param: Param[_]): String

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
final def extractParamMap(): ParamMap

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Definition Classes
Params
val finalStorageLevel: Param[String]

Definition Classes
ALSParams
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
def getALSModel(uid: String, rank: Int, userFactors: DataFrame, itemFactors: DataFrame): ALSModel

Definition Classes
BaseRecommendationModel
def getAlpha: Double

Definition Classes
ALSParams
final def getCheckpointInterval: Int

Definition Classes
HasCheckpointInterval
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getColdStartStrategy: String

Definition Classes
ALSModelParams
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
def getFinalStorageLevel: String

Definition Classes
ALSParams
def getImplicitPrefs: Boolean

Definition Classes
ALSParams
def getIntermediateStorageLevel: String

Definition Classes
ALSParams
def getItemCol: String

Definition Classes
ALSModelParams
def getItemDataFrame: DataFrame
final def getMaxIter: Int

Definition Classes
HasMaxIter
def getNonnegative: Boolean

Definition Classes
ALSParams
def getNumItemBlocks: Int

Definition Classes
ALSParams
def getNumUserBlocks: Int

Definition Classes
ALSParams
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
final def getPredictionCol: String

Definition Classes
HasPredictionCol
def getRank: Int

Definition Classes
ALSParams
def getRatingCol: String

Definition Classes
ALSParams
final def getRegParam: Double

Definition Classes
HasRegParam
final def getSeed: Long

Definition Classes
HasSeed
def getUserCol: String

Definition Classes
ALSModelParams
def getUserDataFrame: DataFrame
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
def hasParent: Boolean

Definition Classes
Model
def hashCode(): Int

Definition Classes
AnyRef → Any
val implicitPrefs: BooleanParam

Definition Classes
ALSParams
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
val intermediateStorageLevel: Param[String]

Definition Classes
ALSParams
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isSet(param: Param[_]): Boolean

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
val itemCol: Param[String]

Definition Classes
ALSModelParams
val itemDataFrame: DataFrameParam
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final val maxIter: IntParam

Definition Classes
HasMaxIter
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val nonnegative: BooleanParam

Definition Classes
ALSParams
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numItemBlocks: IntParam

Definition Classes
ALSParams
val numUserBlocks: IntParam

Definition Classes
ALSParams
lazy val params: Array[Param[_]]

Definition Classes
Params
var parent: Estimator[SARModel]

Definition Classes
Model
final val predictionCol: Param[String]

Definition Classes
HasPredictionCol
val rank: IntParam

Definition Classes
ALSParams
val ratingCol: Param[String]

Definition Classes
ALSParams
def recommendForAllUsers(k: Int): DataFrame

Personalized recommendations for a single user are obtained by multiplying the Item-to-Item similarity matrix with a user affinity vector.
Personalized recommendations for a single user are obtained by multiplying the Item-to-Item similarity matrix with a user affinity vector. The user affinity vector is simply a transposed row of the affinity matrix corresponding to that user.

Definition Classes
SARModel → BaseRecommendationModel
final val regParam: DoubleParam

Definition Classes
HasRegParam
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final val seed: LongParam

Definition Classes
HasSeed
final def set(paramPair: ParamPair[_]): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): SARModel.this.type

Definition Classes
Params
def setActivityTimeFormat(value: String): SARModel.this.type

Definition Classes
SARParams
final def setDefault(paramPairs: ParamPair[_]*): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): SARModel.this.type

Attributes
protected
Definition Classes
Params
def setItemCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setItemDataFrame(value: DataFrame): SARModel.this.type
def setParent(parent: Estimator[SARModel]): SARModel

Definition Classes
Model
def setRatingCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setSimilarityFunction(value: String): SARModel.this.type

Definition Classes
SARParams
def setStartTime(value: String): SARModel.this.type

Definition Classes
SARParams
def setStartTimeFormat(value: String): SARModel.this.type

Definition Classes
SARParams
def setSupportThreshold(value: Int): SARModel.this.type

Definition Classes
SARParams
def setTimeCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setTimeDecayCoeff(value: Int): SARModel.this.type

Definition Classes
SARParams
def setUserCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setUserDataFrame(value: DataFrame): SARModel.this.type
val similarityFunction: Param[String]

Definition Classes
SARParams
val startTime: Param[String]

Definition Classes
SARParams
val startTimeFormat: Param[String]

Definition Classes
SARParams
val supportThreshold: IntParam

Definition Classes
SARParams
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val timeCol: Param[String]

Definition Classes
SARParams
val timeDecayCoeff: IntParam

Definition Classes
SARParams
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def transform(dataset: Dataset[_]): DataFrame

Definition Classes
SARModel → Transformer
def transform(rank: Int, userDataFrame: DataFrame, itemDataFrame: DataFrame, dataset: Dataset[_]): DataFrame

Definition Classes
BaseRecommendationModel
def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" )
def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" ) @varargs()
def transformSchema(schema: StructType): StructType

Definition Classes
SARModel → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

The id of the module
The id of the module

Definition Classes
SARModel → Identifiable
val userCol: Param[String]

Definition Classes
ALSModelParams
val userDataFrame: DataFrameParam
def validateAndTransformSchema(schema: StructType): StructType

Attributes
protected
Definition Classes
ALSParams
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def write: MLWriter

Definition Classes
ComplexParamsWritable → MLWritable

Related Docs: object SARModel | package spark

class SARModel extends Model[SARModel] with BaseRecommendationModel with Wrappable with SARParams with ComplexParamsWritable

Instance Constructors

new SARModel()

new SARModel(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

val activityTimeFormat: Param[String]

val alpha: DoubleParam

final def asInstanceOf[T0]: T0

val checkedCast: UserDefinedFunction

final val checkpointInterval: IntParam

final def clear(param: Param[_]): SARModel.this.type

def clone(): AnyRef

val coldStartStrategy: Param[String]

def copy(extra: ParamMap): SARModel

def copyValues[T <: Params](to: T, extra: ParamMap): T

final def defaultCopy[T <: Params](extra: ParamMap): T

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

val finalStorageLevel: Param[String]

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

def getALSModel(uid: String, rank: Int, userFactors: DataFrame, itemFactors: DataFrame): ALSModel

def getAlpha: Double

final def getCheckpointInterval: Int

final def getClass(): Class[_]

def getColdStartStrategy: String

final def getDefault[T](param: Param[T]): Option[T]

def getFinalStorageLevel: String

def getImplicitPrefs: Boolean

def getIntermediateStorageLevel: String

def getItemCol: String

def getItemDataFrame: DataFrame

final def getMaxIter: Int

def getNonnegative: Boolean

def getNumItemBlocks: Int

def getNumUserBlocks: Int

final def getOrDefault[T](param: Param[T]): T

def getParam(paramName: String): Param[Any]

final def getPredictionCol: String

def getRank: Int

def getRatingCol: String

final def getRegParam: Double

final def getSeed: Long

def getUserCol: String

def getUserDataFrame: DataFrame

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hasParent: Boolean

def hashCode(): Int

val implicitPrefs: BooleanParam

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

val intermediateStorageLevel: Param[String]

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

val itemCol: Param[String]

val itemDataFrame: DataFrameParam

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit